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The concept of a network adjacency matrix refers to a mathematical representation of a network in the form of a matrix. This matrix is used to represent the relationships between different nodes or vertices in the network. Each entry in the matrix represents a connection or link between two nodes, with a value of 1 indicating the presence of a link and a value of 0 indicating the absence of a link. The use of a network adjacency matrix is common in the field of computer science, particularly in the analysis of social networks and other complex systems. By analyzing the matrix, researchers can gain insights into the structure and behavior of the network, which can be useful in a variety of applications, such as predicting the spread of diseases or identifying key individuals within a social network.